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This year, the word "agent automation" is very popular. What enterprises really want is never an AI tool that can only talk and answer, but a "digital colleague" who can work and be entrusted - who can disassemble tasks, collaborate across systems, fill in forms, run processes, and check data, so as to implement complex businesses in a closed loop from beginning to end. This is the core of agent automation: agents are responsible for thinking and decision-making, and automation is responsible for implementation and landing. Both are indispensable.
1.An agent who only "says" but not "does" is like an intern who understands theory but can't move his hands.The most easily fallen trap in the industry is to use an agent as an "advanced search engine".
The ability to chat, summarize and write documents is certainly useful, but the real core process of the enterprise is never "write something", but:
- Check in different systems
- Message trigger
- Approve updates
- Status download, upload and entry
- Judging by rules
- Next docking
- Upstream and downstream business
- Finally, get the whole process through
In other words, the "agents" that enterprises really need must not only be able to "think", but also be able to "do".
2.Agent automation is the key bridge between "thinking" and "execution"
To understand agent automation, there is only one sentence at its core:
The agent is responsible for "deciding what to do next";
Automation is responsible for "really finishing this step".
For details:
- Agent: understanding task → planning steps → making choices → judging exceptions
- Automation: open system → fill in data → click button → execute API → write back results
Agent is the "brain", and automation is the "hands and feet". The key to truly efficient operation of enterprise digitalization is to get through the "brain" and "hands and feet", turn thinking into action, and turn decisions into results.
3.Why is "automation" more important in the era of agent?
The stronger the agent is, the more important automation is. The reason is simple:
- Enterprise systems will not automatically become open just because you install an agent
- Business processes always run across systems and platforms
- 70% of enterprises' work is "executive action", not "decision making"
- The ability of agent is "reasoning",
- But the world of process needs "certainty"
Therefore, in agent automation, automation is not outdated, but upgraded to the "infrastructure capability" of the entire system.
4.For the first time, a real value enterprise has "digital employees who complete tasks independently"
In the past, we used to do automation by breaking the process into fixed scripts - stable but rigid.
Now with an agent, this digital employee can do the following for the first time:
- Understanding the task of natural language description
- Autonomous disassembly task steps
- Develop an implementation plan
- Invoke automation components
- Handling execution exceptions
- Closed loop completion task
- Precipitation execution experience
You just need to tell it, "please complete the whole process of supplier payment". It can: log in to the system → capture data → verify → initiate approval → synchronize status → output results. This is not a "chat robot", but a goal driven "digital labor force" that does not rely on manual command.
5.The essence of agent automation is not "smarter" but "more landing"
The ultimate demand of enterprise digital transformation has never been "having smarter AI", but "having digital employees who can really run the business". When an enterprise upgrades from "giving instructions to the system" to "delegating tasks to digital employees", and when technology is truly transformed into quantifiable business results, the productivity of the industry can be considered as a real leap forward. The core of agent automation is to turn "intelligence" into "effectiveness", and make digital employees reliable business partners of enterprises.